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Overnight Machine Learning Research Scientist information

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$50.5K

$130.1K

$174K

How much do overnight machine learning research scientist jobs pay per year?

As of Aug 24, 2026, the average yearly pay for overnight machine learning research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What does an overnight machine learning research scientist do?

An Overnight Machine Learning Research Scientist is responsible for conducting research and developing new machine learning models and algorithms during overnight shifts. Their work often involves running large-scale experiments, analyzing data, and collaborating with global teams in different time zones. These scientists help ensure that research and development work continues seamlessly around the clock, accelerating innovation and supporting real-time projects. The overnight schedule may also involve monitoring models in production and troubleshooting any issues that arise during off-hours.

What are the key skills and qualifications needed to thrive as an overnight machine learning research scientist, and why are they important?

To thrive as an Overnight Machine Learning Research Scientist, you need a solid background in computer science, statistics, and mathematics, typically with a graduate degree in a related field. Proficiency in Python, TensorFlow or PyTorch, and experience with large-scale data systems are commonly required, along with relevant research publications or certifications. Strong problem-solving abilities, self-motivation, and clear written communication help you excel when working independently during overnight hours. These skills ensure effective research progress, continuous machine learning model development, and successful collaboration across time zones.

What are the unique challenges of working as an overnight machine learning research scientist, and how is collaboration typically managed during off-hours?

As an Overnight Machine Learning Research Scientist, one of the unique challenges is maintaining effective communication and collaboration with teams that primarily work during daytime hours. To address this, organizations often utilize detailed handover notes, asynchronous communication tools, and regular overlap meetings to ensure research progress is continuous and aligned. You may also find that overnight shifts allow for uninterrupted experimentation and model training, which can be advantageous for large-scale computational tasks. However, adapting to the overnight schedule and balancing it with personal well-being is essential for long-term success in this role.

What cities are hiring for Overnight Machine Learning Research Scientist jobs?

Cities with the most Overnight Machine Learning Research Scientist job openings:

What are the most commonly searched types of Machine Learning Research Scientist jobs?

The most popular types of Machine Learning Research Scientist jobs are:

What states have the most Overnight Machine Learning Research Scientist jobs?

States with the most job openings for Overnight Machine Learning Research Scientist jobs include:

Overnight Machine Learning Research Scientist jobs near you

Machine Learning Research Scientist

Voiceflow

San Mateo, CA • On-site

$100 - $150/hr

Other

PTO

Posted 5 days ago

Job description

Company Description

At Autoscience Institute, we create AI systems that autonomously conduct AI research. Recently, we announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025 Workshops). We are passionate about pushing the boundaries of artificial intelligence and contributing to groundbreaking advancements in the field.

Role Description

This is a full-time on-site role for a Machine Learning Research Scientist located in the San Francisco Bay Area.

  • Work directly with the founder to develop autonomous research systems that ideate, experiment, and improve customer models.
  • Collaborate with the engineering team to build and deploy production-ready research systems.
  • RL post-train and fine-tune reasoning models to automate components of the machine learning research process.
  • Stay current with the latest developments in AI research and automation.
Qualifications
  • Education: PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to apply regardless of formal degree.
  • Research: Publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, etc.) or equivalent industry experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI, etc.).
  • Technical: Expertise in training machine learning models, including deep learning, reinforcement learning or genetic algorithms. This does not include building multi-agent systems using LLM APIs or building RAG-based agents.
  • Curiosity: Passion for accelerating scientific discovery through AI and willingness to explore uncharted directions with minimal supervision.
Recommended Qualifications
  • Systems: Experience building scalable and production-ready machine learning pipelines or large-scale model training (distributed model training over >64 GPUs).
  • Science: Any background or proven interested in Automated Scientific Research is a plus.
Benefits & Perks
  • Our comp is competitive against major LLM frontier lab packages
  • Unlimited PTO and flexible working arrangements
  • Conference attendance and publication support
Our Culture

We're a team of passionate researchers and engineers working to automate scientific discovery. We believe in the power of AI to accelerate scientific discovery and are committed to responsible AI development. We are an e-verify employer.

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